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Retail property performance data
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United Kingdom
Retail property data for UK centres, parks and high streets
Footfall, catchment, dwell and tenant overlap for any UK retail asset, so landlords, agents and investors can judge performance on evidence.
Get a free analysis of your locations
Up to 5 locations. No cost, no commitment.
We handle your details in line with UK GDPR.
Retail property data from Huq shows how a UK shopping centre, retail park or high street is performing, not what it's worth or who owns it. See weekly footfall, catchment by postcode, visitor demographics, dwell time and which tenants share shoppers, for your own assets and competing ones. Asset managers use it to report performance, leasing teams to pitch space and investors to test a purchase before they bid.
Retail property data on the Huq platform
The overview introduces the Huq platform as a whole. For retail property, two parts matter most. The shopping centre and retail centre layers on the Explore map let you pick a scheme or draw around a parade. Projects then groups many assets, so a portfolio can be monitored and reported to stakeholders from one place.
- Shopping centre and retail centre layers on the Explore map
- Footfall, catchment and dwell for any scheme or parade
- Projects to monitor a portfolio and report on it
Trusted by 300+ organisations · Data across 35 markets
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What is retail property data?
Retail property data covers anything that helps value, let or manage shops, shopping centres and retail parks. In the UK that includes rents and yields, vacancy rates, ownership and tenant schedules, alongside performance measures such as footfall and catchment.
Huq focuses on performance. For any UK retail asset it measures footfall by week, month and year, visiting vs passing traffic, where visitors live, who they are by age, gender and purchasing power, how long they stay and which tenants they share. Geo-spend, spend by volume and category via Experian, is also available. It doesn't cover rents, yields or ownership.
Accuracy is checked against landlord-reported footfall, the figure centre owners already use: an 18.7% MAPE in Great Britain. Monthly PDF location reports then benchmark each asset against regional and national trends.
What's in your retail property data from Huq
01
Scheme footfall and trends
Weekly, monthly and yearly footfall with period-on-period change for centres, retail parks and parades.
02
Catchment and demographics
Visitors' home postcodes, travel-time areas and profiles by age, gender and purchasing power.
03
Dwell and dayparts
How long shoppers stay and when they visit, to support opening hours, events and leisure lettings.
04
Tenant cross-visitation
Which tenants and nearby schemes share shoppers, across up to 10 location pairs.
What retail property data from Huq shows
Three views UK asset managers and agents use to report on and let retail space.
01
Portfolio monitoring
Group assets into Projects to track weekly footfall across a portfolio, flag schemes that are slipping and share status with stakeholders.
02
Monthly asset report
Monthly PDF location reports show KPIs, trends against regional and national benchmarks, weekday patterns, catchment, dayparts and dwell.
03
Competing schemes
Compare your centre or retail park with competing schemes on footfall, catchment and dwell, using the same measures for every asset.
Retail property data for any UK scheme
Huq covers any address in the UK: high streets, shopping centres, retail parks, competitors' stores and sites you haven't opened yet. No counters, sensors or cameras needed.
Huq manually validates more than 1,000 locations in each of its 35 markets twice a year, and data refreshes weekly.
How it works
Step 1
Tell us your locations
Add up to five addresses in the form. Your own stores, candidate sites or competitors.
Step 2
We run the analysis
Our team maps each location from observed visitor data.
Step 3
We walk you through it
A short call to take you through what the data shows and what it means for you.
Why UK landlords and investors use Huq
- Huq publishes its accuracy by country: an 18.7% median error in Great Britain against landlord-reported footfall.
- JD Sports, a UK retailer, got 25% more precise catchment analysis and 18% lower new-store location risk.
- Ripon BID saw footfall up 164% year on year.
- Trusted by 300+ organisations across 35 markets, including the global insights, research and location intelligence teams at Nike, Adidas, JD Sports and Samsung.
huq's platform gave us valuable data to support a key decision on potential new sites.
Dan Brogden
National Sales Manager, Puccinos
Who it's for
01
Retail chains of any size
From five-store retailers planning their next site to global brands: choose locations, track store performance and benchmark against competitors.
02
Retail property owners
Show centre performance, support leasing and get the tenant mix right, for landlords, asset managers and brokers.
03
Investors and private equity
Check how retail brands and assets actually perform before you buy, and monitor them after.
Everything Huq measures, in one platform
- Footfall: by week, month and year, with totals, average daily footfall, trends, period-on-period change, and visiting vs passing traffic.
- Residents and visitors.
- Catchment and travel time: catchment by postcodes, plus drive-time and travel-time analysis.
- Demographics and profiling: age, gender and purchasing power.
- Behaviour: visit frequency, dwell time, time of day and dayparts, cross-visitation between up to 10 location pairs, and international visitation for tourism.
- Footfall density and transportation mode.
- Places, brands and industries: points of interest, brand locations and brand analysis, industry performance, shopping centre and retail centre types.
- Geo-spend: spend by volume and category at any UK location, via Experian.
- Tools: the Explore map (draw any area or use layers for travel time, catchment, shopping centres, retail centres, brand locations, industries and postcodes), White Space Analysis, and Projects for monitoring many locations and reporting to stakeholders.
- Delivery: the platform, CSV or Excel exports, monthly PDF location reports, and data feeds as Parquet and CSV files into Amazon S3 or Google Cloud Storage buckets.
- Cadence: data refreshes weekly.
Frequently asked questions
What does retail property data include?
Broadly, two things: market data such as rents, yields, vacancy and ownership, and performance data such as footfall, catchment, dwell and tenant overlap. Huq provides the performance side for any UK shopping centre, retail park or high street, refreshed weekly.
How do I benchmark a shopping centre's footfall?
Compare its weekly footfall with nearby schemes, the town centre and regional and national trends. Huq's monthly PDF reports show an asset against regional and national benchmarks, and the Explore map lets you draw any competing scheme and measure it the same way.
Can I see data for a centre I don't own?
Yes. Huq works without counters, sensors or cameras, so you can measure competing schemes or an asset you're thinking of buying. Investors use this to check how a centre or retail park performs before they bid, and landlords use it to benchmark against rivals.
Which UK retail property does Huq cover?
Any address in the UK: shopping centres, retail parks, outlet centres, high streets, single units and sites not yet open. The Explore map includes shopping centre and retail centre layers, or you can draw your own boundary around any scheme or parade.
Is the data refreshed weekly?
Yes, data refreshes weekly. You can report by week, month or year, export CSV or Excel files per asset or combined, receive monthly PDF location reports, or take data feeds as Parquet and CSV files into Amazon S3 or Google Cloud Storage buckets.
How does the free analysis work?
List the schemes or retail parks you want to look at and Huq will prepare a free analysis of your sites, covering footfall, catchment and tenant overlap. It's a quick way to see how your assets compare before you decide how to use the data.
Questions? Talk to us
Book a demoAbout Huq
Huq is a location intelligence company. We turn anonymised mobile location data into footfall, catchment and visitor insight for any place, so retailers, property owners and local authorities can make decisions on evidence.
See how your locations really perform
Up to 5 locations. No cost, no commitment.